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Rui Xing

Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph
2025 · Roman Vashurin, Ekaterina Fadeeva, et al. · Transactions of the Association for Computational Linguistics · 20
FIRE: Fact-checking with Iterative Retrieval and Verification
2025 · Zhuohan Xie, Rui Xing, et al. · Findings of the Association for Computational Linguistics: NAACL · 12
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LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection
2024 · Mervat Abassy, Kareem Elozeiri, et al. · Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP) · 7
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Evaluating Evidence Attribution in Generated Fact Checking Explanations
2025 · Rui Xing, Timothy Baldwin, et al. · Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL) · 3
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Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI
2026 · Yuxia Wang, Rui Xing, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 2
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FinChain: A Symbolic Benchmark for Verifiable Chain-of-Thought Financial Reasoning
2026 · Zhuohan Xie, Daniil Orel, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 2
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A Two-Stage Data Selection Framework for Data-Efficient Model Training on Edge Devices
2025 · Chen Gong, Rui Xing, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 2
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Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models
2025 · Artem Vazhentsev, Ekaterina Fadeeva, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2
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LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection
2024 · Abassy, Mervat, Elozeiri, Kareem, et al. · TUbilio (Technical University of Darmstadt) · 2
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COMMUNITYNOTES: A Dataset for Exploring the Helpfulness of Fact-Checking Explanations
2026 · Rui Xing, Preslav Nakov, et al. · Findings of the Association for Computational Linguistics: EACL · 1
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Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs
2025 · Jie Ma, NING QU, et al. · neural information processing systems · 1
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MAMath-Bench: Process-Aware and Robust Evaluation of Multimodal Multi-Agent Mathematical Reasoning
2026 · Wang, Xinping, Ma, Jie, et al. · arXiv (Cornell University)
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COMMUNITYNOTES: A Dataset for Exploring the Helpfulness of Fact-Checking Explanations
2026 · Association for Computational Linguistics 2026, Baldwin, Timothy, et al. · Underline Science Inc.
GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. Human
2025 · Wang, Yuxia, Shelmanov, Artem, et al. · arXiv (Cornell University)
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Improving Large Language Models for Programmatic Text Understanding via Iterative Instruction Refinement
2025 · Lecheng Yan, Chenyang Lyu, et al. · Communications in computer and information science
Evaluating Evidence Attribution in Generated Fact Checking Explanations
2024 · Xing, Rui, Baldwin, Timothy, et al. · arXiv (Cornell University)
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Works count: 21
Citation count: 52
H-index: 3
I10-index: 2
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